Meaning Generation for Animals, Humans and Artificial Agents. An Evolutionary Perspective on the Philosophy of Information

Proceedings

Menant, Christophe¹ 

关键词: information;    meaning;    constraint;    representation;    evolution;    self-consciousness;    anxiety management;    philosophy of information;    ethics;    symbol grounding problem;   

DOI  :  10.3390/IS4SI-2017-03942

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

Meanings are present everywhere in our environment and within ourselves. But these meanings do not exist by themselves. They are associated to information and have to be created, to be generated by agents. The Meaning Generator System (MGS) has been developed to model meaning generation in agents following a system approach in an evolutionary perspective. The agents can be natural or artificial. The MGS generates meaningful information (a meaning) when it receives information that has a connection with an internal constraint to which the agent is submitted. The generated meaning is to be used by the agent to implement actions aimed at satisfying the constraint. We propose here to highlight some characteristics of the MGS that could be related to items of philosophy of information.

【 授权许可】

CC BY